880 search results for "sql"

How to install R packages on an off-line SQL Server 2016 instance

May 4, 2016
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by Andrie de Vries One of the most exciting features of the forthcoming release of SQL Server 2016 (generally available on June 1, and in preview now) is the ability to run R scripts directly in database using SQL Server R Services. This means your R code will run directly on the server, as opposed to first extracting the...

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Installing SQL Server ODBC drivers on Ubuntu (in Travis-CI)

April 20, 2016
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Did you know you can now get SQL Server ODBC drivers for Ubuntu? Yes, no, maybe? It’s ok even if you haven’t since it’s pretty new! Anyway, this presents me with an ideal opportunity to standardise my SQL Server ODBC connections across the operating systems I use R on i.e. Windows and Ubuntu. My first The post

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An Analysis of Traffic Violation Data with SQL Server and R

April 6, 2016
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An Analysis of Traffic Violation Data with SQL Server and R

By Srini Kumar, Director of Data Science at Microsoft Who does not hate being stopped and given a traffic ticket? Invariably, we think that something is not fair that we got it and everyone else did not. I am no different, and living in the SF Bay Area, I have often wondered if I could get the data about...

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SQL Server 2016 with R Install

April 2, 2016
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SQL Server 2016 with R Install

I installed the “SQL Server 2016 Release Candidate” today to start playing around with Microsoft is calling “SQL Server R Services (In-Database)”. I think this is really going to change the way we do things at the office and it’s … Continue reading →

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SQL Server 2016 launch showcases R

March 14, 2016
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SQL Server 2016 launch showcases R

Microsoft officially launched SQL Server 2016 at the Data Driven event in New York City last week, and R featured prominently. One of the highlights from Joseph Sirosh's keynote was a demonstration of the World Wide Telescope, an online tool that allows budding astronomers (and professionals!) to explore the visible universe using imagery from the Digitized Sky Survey. The...

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Performing SQL selects on R data frames

March 13, 2016
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Performing SQL selects on R data frames

For anyone who has SQL background and who wants to learn R, I guess the sqldf package is very useful because it enables us to use SQL commands in R. One who has basic SQL skills can manipulate data frames in R using their SQL skills. You can read more about sqldf package from cran. Related Post

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Getting Started with Microsoft SQL Server on Azure

February 11, 2016
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Getting Started with Microsoft SQL Server on Azure

by Joseph Rickert If you are an R user and work for an enterprise where Microsoft SQL server is important, it is extremely helpful to have easy access to SQL Server databases. Over the past year, we have run several posts on this topic including a comprehensive four part series from Microsoft's Gregory Vandenbrouck on using various flavors of...

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Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

February 8, 2016
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Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

If you have a database of credit-card transactions with a small percentage tagged as fraudulent, how can you create a process that automatically flags likely fraudulent transactions in the future? That's the premise behind the latest Data Science Deep Dive on MSDN. This tutorial provides a step by step to using the R language and the big-data statistical models...

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Using PostgreSQL in R: A quick how-to

February 1, 2016
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Using PostgreSQL in R: A quick how-to

The combination of R plus SQL offers an attractive way to work with what we call medium-scale data: data that’s perhaps too large to gracefully work with in its entirety within your favorite desktop analysis tool (whether that be R or Excel), but too small to justify the overhead of big data infrastructure. In some … Continue reading...

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Data Manipulation in R: Beyond SQL

January 19, 2016
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Data Manipulation in R: Beyond SQL

As a follow up to an article on using SQL in R, I just had an new article published at Simple Talk that considers ways to manipulate data in R that are cumbersome in SQL as well as ways to replace SQL statements with functional equivalents.

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